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On the relation between the AGN jet and accretion disk emissions

Published online by Cambridge University Press:  24 March 2015

Vahe' Petrosian
Affiliation:
Dept. of Physics and KIPAC, Stanford University, 382 Via Pueblo Mall, Stanford, CA 94306, USA email: vahep@stanford.edu
Jack Singal
Affiliation:
Dept. of Physics, University of Richmond, Richmond, VA 23173 email: jsingal@richmond.edu
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Abstract

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AGN jets are detected via their radio and/or gamma-ray emissions while the accretion disks are detected by their optical and UV radiation. Observations of the radio and optical luminosities show a strong correlation between the two luminosities. However, part of this correlation is due to the redshift or distances of the sources that enter in calculating the luminosities from the observed fluxes and part of it could be due to the differences in the cosmological evolution of luminosities. Thus, the determination of the intrinsic correlations between the luminosities is not straightforward. It is affected by the observational selection effects and other factors that truncate the data, sometimes in a complex manner [Antonucci (2011) and Pavildou et al. (2010)]. In this paper we describe methods that allow us to determine the evolution of the radio and optical luminosities, and determine the true intrinsic correlation between the two luminosities. We find a much weaker correlation than observed and sub-linear relations between the luminosities. This has a significant implication for the jet and accretion disk physics.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2015 

References

Antonucci, R. 2011, (arXiv:1101.0837)Google Scholar
Becker, R., White, L., & Helfand, D. 1995, ApJ, 450, 559CrossRefGoogle Scholar
Dainotti, M., Petrosian, V., Singal, J., & Ostrowski, M. 2013, ApJ, 774, 157Google Scholar
Eddington, A., 1940, MNRAS, 100, 354Google Scholar
Efron, B. & Petrosian, V. 1992, ApJ, 399, 345Google Scholar
Efron, B. & Petrosian, V. 1999, JASA, 94, 447Google Scholar
Kocevski, D. & Liang, E. 2006, ApJ, 642, 371Google Scholar
Lloyd, N., Petrosian, V., & Mallozzi, R. 2000, ApJ, 534, 227CrossRefGoogle Scholar
Lynden-Bell, D. 1971, MNRAS, 155, 95Google Scholar
Malmquist, G. 1925, Arc Mat Astr Fys BdGoogle Scholar
Maloney, A. & Petrosian, V. 1999, ApJ, 518, 32Google Scholar
Pavildou, V., et al. 2012, ApJ, 751, 149Google Scholar
Petrosian, V. 1973, ApJ, 183, 359Google Scholar
Petrosian, V. 1992, in Statistical Challenges in Modern Astronomy, eds. Feigelson, E. D. & Babu, G. H. (New York: Springer), 173Google Scholar
Schmidt, M. 1972, ApJS, 176, 273Google Scholar
Schneider, D., et al. 2010, AJ, 139, 2360Google Scholar
Singal, J., Petrosian, V. J., Lawrence, A., & Stawarz, Ł. 2011, ApJ, 743, 104Google Scholar
Singal, J., Petrosian, V., & Ajello, M. 2012, ApJ, 753, 45CrossRefGoogle Scholar
Singal, J., Ko, A., & Petrosian, V. 2014, ApJ, 786, 109Google Scholar
Singal, J., Petrosian, V., Stawarz, Ł., & Lawrence, A. 2013, ApJ, 764, 43Google Scholar
Trumpler, R. & Weaver, H. 1953, Statistical Astronomy, New York: Dover PublicationsGoogle Scholar